Dataset statistics
| Number of variables | 16 |
|---|---|
| Number of observations | 193272 |
| Missing cells | 113396 |
| Missing cells (%) | 3.7% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 21.0 MiB |
| Average record size in memory | 114.0 B |
Variable types
| Numeric | 6 |
|---|---|
| Categorical | 8 |
| Boolean | 2 |
is_retweet has constant value "False" | Constant |
user_name has a high cardinality: 75869 distinct values | High cardinality |
user_location has a high cardinality: 23054 distinct values | High cardinality |
user_description has a high cardinality: 73957 distinct values | High cardinality |
user_created has a high cardinality: 77112 distinct values | High cardinality |
date has a high cardinality: 187514 distinct values | High cardinality |
text has a high cardinality: 191553 distinct values | High cardinality |
hashtags has a high cardinality: 52470 distinct values | High cardinality |
source has a high cardinality: 334 distinct values | High cardinality |
user_friends is highly correlated with user_favourites | High correlation |
user_favourites is highly correlated with user_friends | High correlation |
retweets is highly correlated with favorites | High correlation |
favorites is highly correlated with retweets | High correlation |
retweets is highly correlated with favorites | High correlation |
favorites is highly correlated with retweets | High correlation |
user_friends is highly correlated with user_favourites | High correlation |
user_favourites is highly correlated with user_friends | High correlation |
retweets is highly correlated with favorites | High correlation |
favorites is highly correlated with retweets | High correlation |
user_verified is highly correlated with is_retweet | High correlation |
is_retweet is highly correlated with user_verified | High correlation |
retweets is highly correlated with favorites | High correlation |
favorites is highly correlated with retweets | High correlation |
user_location has 58573 (30.3%) missing values | Missing |
user_description has 13730 (7.1%) missing values | Missing |
hashtags has 40973 (21.2%) missing values | Missing |
user_friends is highly skewed (γ1 = 41.73075676) | Skewed |
retweets is highly skewed (γ1 = 133.5361123) | Skewed |
favorites is highly skewed (γ1 = 77.54535765) | Skewed |
date is uniformly distributed | Uniform |
text is uniformly distributed | Uniform |
id has unique values | Unique |
user_friends has 23193 (12.0%) zeros | Zeros |
user_favourites has 8692 (4.5%) zeros | Zeros |
retweets has 144849 (74.9%) zeros | Zeros |
favorites has 101340 (52.4%) zeros | Zeros |
Reproduction
| Analysis started | 2021-10-30 23:04:41.907294 |
|---|---|
| Analysis finished | 2021-10-30 23:05:33.911031 |
| Duration | 52 seconds |
| Software version | pandas-profiling v3.1.0 |
| Download configuration | config.json |
| Distinct | 193272 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.399486344 × 1018 |
| Minimum | 1.337727768 × 1018 |
|---|---|
| Maximum | 1.440388348 × 1018 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.5 MiB |
Quantile statistics
| Minimum | 1.337727768 × 1018 |
|---|---|
| 5-th percentile | 1.362014467 × 1018 |
| Q1 | 1.379804354 × 1018 |
| median | 1.402808652 × 1018 |
| Q3 | 1.418841921 × 1018 |
| 95-th percentile | 1.434428058 × 1018 |
| Maximum | 1.440388348 × 1018 |
| Range | 1.026605806 × 1017 |
| Interquartile range (IQR) | 3.903756724 × 1016 |
Descriptive statistics
| Standard deviation | 2.382255178 × 1016 |
|---|---|
| Coefficient of variation (CV) | 0.01702235386 |
| Kurtosis | -0.9124554159 |
| Mean | 1.399486344 × 1018 |
| Median Absolute Deviation (MAD) | 2.026173309 × 1016 |
| Skewness | -0.2549031865 |
| Sum | -3.083629839 × 1018 |
| Variance | 5.675139732 × 1032 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1.377661711 × 1018 | 1 | < 0.1% |
| 1.37755881 × 1018 | 1 | < 0.1% |
| 1.430252041 × 1018 | 1 | < 0.1% |
| 1.42017988 × 1018 | 1 | < 0.1% |
| 1.379588009 × 1018 | 1 | < 0.1% |
| 1.429402915 × 1018 | 1 | < 0.1% |
| 1.382713297 × 1018 | 1 | < 0.1% |
| 1.359931436 × 1018 | 1 | < 0.1% |
| 1.372263586 × 1018 | 1 | < 0.1% |
| 1.403564962 × 1018 | 1 | < 0.1% |
| Other values (193262) | 193262 |
| Value | Count | Frequency (%) |
| 1.337727768 × 1018 | 1 | |
| 1.337728702 × 1018 | 1 | |
| 1.337732077 × 1018 | 1 | |
| 1.337732996 × 1018 | 1 | |
| 1.337733049 × 1018 | 1 | |
| 1.337733857 × 1018 | 1 | |
| 1.337733928 × 1018 | 1 | |
| 1.33773407 × 1018 | 1 | |
| 1.337735596 × 1018 | 1 | |
| 1.337739608 × 1018 | 1 |
| Value | Count | Frequency (%) |
| 1.440388348 × 1018 | 1 | |
| 1.440387788 × 1018 | 1 | |
| 1.440387179 × 1018 | 1 | |
| 1.440385611 × 1018 | 1 | |
| 1.440385512 × 1018 | 1 | |
| 1.440385429 × 1018 | 1 | |
| 1.440384772 × 1018 | 1 | |
| 1.440384657 × 1018 | 1 | |
| 1.440383372 × 1018 | 1 | |
| 1.440383191 × 1018 | 1 |
| Distinct | 75869 |
|---|---|
| Distinct (%) | 39.3% |
| Missing | 1 |
| Missing (%) | < 0.1% |
| Memory size | 1.5 MiB |
| CowinBangalore | 11495 |
|---|---|
| CoWIN Blore 18-44 | 8879 |
| Owl 🦉 | 6570 |
| VaxBLR | 3804 |
| Workout Solutions | 2251 |
| Other values (75864) |
Length
| Max length | 50 |
|---|---|
| Median length | 13 |
| Mean length | 13.74027661 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 57481 ? |
|---|---|
| Unique (%) | 29.7% |
Sample
| 1st row | Rachel Roh |
|---|---|
| 2nd row | Albert Fong |
| 3rd row | eli🇱🇹🇪🇺👌 |
| 4th row | Charles Adler |
| 5th row | Citizen News Channel |
Common Values
| Value | Count | Frequency (%) |
| CowinBangalore | 11495 | 5.9% |
| CoWIN Blore 18-44 | 8879 | 4.6% |
| Owl 🦉 | 6570 | 3.4% |
| VaxBLR | 3804 | 2.0% |
| Workout Solutions | 2251 | 1.2% |
| Owl🦉 | 1956 | 1.0% |
| eLéPhunk | 688 | 0.4% |
| Xukki🌍 | 614 | 0.3% |
| Sputnik V | 443 | 0.2% |
| China Economy | 402 | 0.2% |
| Other values (75859) | 156169 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| cowinbangalore | 11495 | 2.8% |
| blore | 8884 | 2.2% |
| cowin | 8881 | 2.2% |
| 18-44 | 8879 | 2.2% |
| owl | 6579 | 1.6% |
| 🦉 | 6575 | 1.6% |
| the | 4555 | 1.1% |
| news | 4082 | 1.0% |
| 3952 | 1.0% | |
| vaxblr | 3804 | 0.9% |
| Other values (71995) | 339537 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 23054 |
|---|---|
| Distinct (%) | 17.1% |
| Missing | 58573 |
| Missing (%) | 30.3% |
| Memory size | 1.5 MiB |
| Bengaluru, India | |
|---|---|
| India | 6690 |
| Toronto, Canada and Worldwide | 2619 |
| New Delhi, India | 2598 |
| Mumbai, India | 1670 |
| Other values (23049) |
Length
| Max length | 135 |
|---|---|
| Median length | 14 |
| Mean length | 14.30746331 |
| Min length | 1 |
Characters and Unicode
| Total characters | 22 |
|---|---|
| Distinct characters | 1 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 15155 ? |
|---|---|
| Unique (%) | 11.3% |
Sample
| 1st row | La Crescenta-Montrose, CA |
|---|---|
| 2nd row | San Francisco, CA |
| 3rd row | Your Bed |
| 4th row | Vancouver, BC - Canada |
| 5th row | Birmingham, England |
Common Values
| Value | Count | Frequency (%) |
| Bengaluru, India | 13397 | 6.9% |
| India | 6690 | 3.5% |
| Toronto, Canada and Worldwide | 2619 | 1.4% |
| New Delhi, India | 2598 | 1.3% |
| Mumbai, India | 1670 | 0.9% |
| United States | 1652 | 0.9% |
| New Delhi | 1037 | 0.5% |
| Sri Lanka | 1036 | 0.5% |
| Beijing, China | 919 | 0.5% |
| Mumbai | 859 | 0.4% |
| Other values (23044) | 102222 | |
| (Missing) | 58573 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| india | 33916 | 11.8% |
| bengaluru | 13905 | 4.8% |
| new | 6860 | 2.4% |
| delhi | 5762 | 2.0% |
| canada | 5146 | 1.8% |
| usa | 5089 | 1.8% |
| toronto | 4250 | 1.5% |
| united | 3930 | 1.4% |
| and | 3484 | 1.2% |
| 3383 | 1.2% | |
| Other values (16753) | 201230 |
Most occurring characters
| Value | Count | Frequency (%) |
| 22 |
Most occurring categories
| Value | Count | Frequency (%) |
| Control | 22 |
Most frequent character per category
Control
| Value | Count | Frequency (%) |
| 22 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 22 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 22 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 22 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 22 |
| Distinct | 73957 |
|---|---|
| Distinct (%) | 41.2% |
| Missing | 13730 |
| Missing (%) | 7.1% |
| Memory size | 1.5 MiB |
| Follow us to get update as soon as 18 plus vaccine appointments open up in Bangalore & Covaxin for 45+ #TwitterBot Telegram: https://t.co/WavSl590z5 | 11418 |
|---|---|
| Get instant alerts for Free/Paid slots in BBMP, Bangalore Urban centers https://t.co/Vh4GH7Bb21 | 8854 |
| follow for updates on 18-44 vaccination availability in Mumbai/Thane | #MumbaiCOVAXIN #ThaneCOVAXIN #MumbaiCOVISHIELD | 4827 |
| Hourly updates on FREE and PAID 18+ and 45+ vaccine slot availability across #Bengaluru BBMP,URBAN & RURAL | 3803 |
| George Tsanis – Workout Solutions Health and Fitness Consultants since 1996 – One-on-one and online distance coaching – Toronto, Canada, World | 2619 |
| Other values (73952) |
Length
| Max length | 248 |
|---|---|
| Median length | 116 |
| Mean length | 106.6371211 |
| Min length | 1 |
Characters and Unicode
| Total characters | 104470 |
|---|---|
| Distinct characters | 1 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 57512 ? |
|---|---|
| Unique (%) | 32.0% |
Sample
| 1st row | Aggregator of Asian American news; scanning diverse sources 24/7/365. RT's, Follows and 'Likes' will fuel me 👩💻 |
|---|---|
| 2nd row | Marketing dude, tech geek, heavy metal & '80s music junkie. Fascinated by meteorology and all things in the cloud. Opinions are my own. |
| 3rd row | heil, hydra 🖐☺ |
| 4th row | Hosting "CharlesAdlerTonight" Global News Radio Network. Weeknights 7 Pacific-10 Eastern - Email comments/ideas to charles@charlesadlertonight.ca |
| 5th row | Citizen News Channel bringing you an alternative news source from citizen journalists that haven't sold out. Real news & real views |
Common Values
| Value | Count | Frequency (%) |
| Follow us to get update as soon as 18 plus vaccine appointments open up in Bangalore & Covaxin for 45+ #TwitterBot Telegram: https://t.co/WavSl590z5 | 11418 | 5.9% |
| Get instant alerts for Free/Paid slots in BBMP, Bangalore Urban centers https://t.co/Vh4GH7Bb21 | 8854 | 4.6% |
| follow for updates on 18-44 vaccination availability in Mumbai/Thane | #MumbaiCOVAXIN #ThaneCOVAXIN #MumbaiCOVISHIELD | 4827 | 2.5% |
| Hourly updates on FREE and PAID 18+ and 45+ vaccine slot availability across #Bengaluru BBMP,URBAN & RURAL | 3803 | 2.0% |
| George Tsanis – Workout Solutions Health and Fitness Consultants since 1996 – One-on-one and online distance coaching – Toronto, Canada, World | 2619 | 1.4% |
| follow for updates on 18-44 vaccination availability in Gurgaon | Search: #GurgaonCOVISHIELD #GurgaonCOVAXIN | 1831 | 0.9% |
| follow for updates on 18-44 vaccination availability in Pune | 1697 | 0.9% |
| Latest business news and valuable information from China. | 402 | 0.2% |
| Sputnik is a global wire, radio and digital news service. We exist to tell the stories that aren’t being told. | 384 | 0.2% |
| News https://t.co/655UNA7k59 https://t.co/rpTzREEniO | 368 | 0.2% |
| Other values (73947) | 143339 | |
| (Missing) | 13730 | 7.1% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 120590 | 4.4% | |
| and | 60102 | 2.2% |
| in | 54877 | 2.0% |
| for | 49618 | 1.8% |
| the | 46342 | 1.7% |
| of | 38557 | 1.4% |
| to | 37930 | 1.4% |
| a | 27739 | 1.0% |
| on | 26369 | 1.0% |
| as | 26345 | 1.0% |
| Other values (156353) | 2271727 |
Most occurring characters
| Value | Count | Frequency (%) |
| 104470 |
Most occurring categories
| Value | Count | Frequency (%) |
| Control | 104470 |
Most frequent character per category
Control
| Value | Count | Frequency (%) |
| 104470 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 104470 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 104470 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 104470 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 104470 |
| Distinct | 77112 |
|---|---|
| Distinct (%) | 39.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.5 MiB |
| 2021-05-17 18:56:45 | 11678 |
|---|---|
| 2021-06-29 09:33:13 | 8879 |
| 2021-05-26 19:13:22 | 4851 |
| 2021-06-21 08:44:34 | 3804 |
| 2010-09-20 17:01:08 | 2619 |
| Other values (77107) |
Length
| Max length | 19 |
|---|---|
| Median length | 19 |
| Mean length | 19 |
| Min length | 19 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 59192 ? |
|---|---|
| Unique (%) | 30.6% |
Sample
| 1st row | 2009-04-08 17:52:46 |
|---|---|
| 2nd row | 2009-09-21 15:27:30 |
| 3rd row | 2020-06-25 23:30:28 |
| 4th row | 2008-09-10 11:28:53 |
| 5th row | 2020-04-23 17:58:42 |
Common Values
| Value | Count | Frequency (%) |
| 2021-05-17 18:56:45 | 11678 | 6.0% |
| 2021-06-29 09:33:13 | 8879 | 4.6% |
| 2021-05-26 19:13:22 | 4851 | 2.5% |
| 2021-06-21 08:44:34 | 3804 | 2.0% |
| 2010-09-20 17:01:08 | 2619 | 1.4% |
| 2021-05-22 15:14:51 | 1851 | 1.0% |
| 2021-05-23 16:18:16 | 1719 | 0.9% |
| 2014-05-16 04:25:35 | 688 | 0.4% |
| 2020-05-21 15:54:09 | 641 | 0.3% |
| 2020-08-11 09:12:38 | 443 | 0.2% |
| Other values (77102) | 156099 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 2021-05-17 | 11752 | 3.0% |
| 18:56:45 | 11679 | 3.0% |
| 2021-06-29 | 8910 | 2.3% |
| 09:33:13 | 8881 | 2.3% |
| 2021-05-26 | 4890 | 1.3% |
| 19:13:22 | 4852 | 1.3% |
| 2021-06-21 | 3847 | 1.0% |
| 08:44:34 | 3806 | 1.0% |
| 2010-09-20 | 2663 | 0.7% |
| 17:01:08 | 2623 | 0.7% |
| Other values (55826) | 322641 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
user_followers
Real number (ℝ≥0)
| Distinct | 20166 |
|---|---|
| Distinct (%) | 10.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 92187.41612 |
| Minimum | 0 |
|---|---|
| Maximum | 16069626 |
| Zeros | 1808 |
| Zeros (%) | 0.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.5 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 8 |
| Q1 | 69 |
| median | 362 |
| Q3 | 1551 |
| 95-th percentile | 63059 |
| Maximum | 16069626 |
| Range | 16069626 |
| Interquartile range (IQR) | 1482 |
Descriptive statistics
| Standard deviation | 807928.9225 |
|---|---|
| Coefficient of variation (CV) | 8.763982727 |
| Kurtosis | 195.9178955 |
| Mean | 92187.41612 |
| Median Absolute Deviation (MAD) | 345 |
| Skewness | 13.0618653 |
| Sum | 1.781724629 × 1010 |
| Variance | 6.527491438 × 1011 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 24 | 3628 | 1.9% |
| 18 | 2152 | 1.1% |
| 23 | 2115 | 1.1% |
| 1102 | 2033 | 1.1% |
| 22 | 2002 | 1.0% |
| 1070 | 1850 | 1.0% |
| 0 | 1808 | 0.9% |
| 1116 | 1722 | 0.9% |
| 1058 | 1626 | 0.8% |
| 1 | 1589 | 0.8% |
| Other values (20156) | 172747 |
| Value | Count | Frequency (%) |
| 0 | 1808 | |
| 1 | 1589 | |
| 2 | 1167 | |
| 3 | 1241 | |
| 4 | 956 | |
| 5 | 1138 | |
| 6 | 819 | |
| 7 | 878 | |
| 8 | 842 | |
| 9 | 1414 |
| Value | Count | Frequency (%) |
| 16069626 | 2 | |
| 16047043 | 1 | |
| 16023520 | 1 | |
| 16015790 | 1 | |
| 16015787 | 2 | |
| 16012833 | 1 | |
| 15996753 | 1 | |
| 15984227 | 1 | |
| 15980770 | 1 | |
| 15972684 | 1 |
| Distinct | 7718 |
|---|---|
| Distinct (%) | 4.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 991.3018854 |
| Minimum | 0 |
|---|---|
| Maximum | 582461 |
| Zeros | 23193 |
| Zeros (%) | 12.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.5 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 30 |
| median | 236 |
| Q3 | 800 |
| 95-th percentile | 4074 |
| Maximum | 582461 |
| Range | 582461 |
| Interquartile range (IQR) | 770 |
Descriptive statistics
| Standard deviation | 5334.092691 |
|---|---|
| Coefficient of variation (CV) | 5.380896344 |
| Kurtosis | 2693.408941 |
| Mean | 991.3018854 |
| Median Absolute Deviation (MAD) | 234 |
| Skewness | 41.73075676 |
| Sum | 191590898 |
| Variance | 28452544.83 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 23193 | 12.0% |
| 2 | 12272 | 6.3% |
| 3 | 1171 | 0.6% |
| 1 | 861 | 0.4% |
| 236 | 755 | 0.4% |
| 6 | 703 | 0.4% |
| 25 | 620 | 0.3% |
| 10 | 552 | 0.3% |
| 45 | 547 | 0.3% |
| 7 | 532 | 0.3% |
| Other values (7708) | 152066 |
| Value | Count | Frequency (%) |
| 0 | 23193 | |
| 1 | 861 | 0.4% |
| 2 | 12272 | |
| 3 | 1171 | 0.6% |
| 4 | 464 | 0.2% |
| 5 | 428 | 0.2% |
| 6 | 703 | 0.4% |
| 7 | 532 | 0.3% |
| 8 | 499 | 0.3% |
| 9 | 376 | 0.2% |
| Value | Count | Frequency (%) |
| 582461 | 1 | |
| 516578 | 1 | |
| 383838 | 1 | |
| 380428 | 1 | |
| 380362 | 2 | |
| 380353 | 1 | |
| 380265 | 1 | |
| 300550 | 1 | |
| 279217 | 1 | |
| 278206 | 1 |
| Distinct | 35188 |
|---|---|
| Distinct (%) | 18.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 11999.53491 |
| Minimum | 0 |
|---|---|
| Maximum | 1221784 |
| Zeros | 8692 |
| Zeros (%) | 4.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.5 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 57 |
| median | 1005 |
| Q3 | 7324 |
| 95-th percentile | 59290.45 |
| Maximum | 1221784 |
| Range | 1221784 |
| Interquartile range (IQR) | 7267 |
Descriptive statistics
| Standard deviation | 38962.80402 |
|---|---|
| Coefficient of variation (CV) | 3.247026181 |
| Kurtosis | 143.6277624 |
| Mean | 11999.53491 |
| Median Absolute Deviation (MAD) | 1004 |
| Skewness | 9.47313346 |
| Sum | 2319174112 |
| Variance | 1518100097 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1 | 9866 | 5.1% |
| 0 | 8692 | 4.5% |
| 2 | 7402 | 3.8% |
| 57 | 5022 | 2.6% |
| 58 | 4769 | 2.5% |
| 55 | 1356 | 0.7% |
| 3 | 867 | 0.4% |
| 4 | 854 | 0.4% |
| 53 | 773 | 0.4% |
| 2182 | 640 | 0.3% |
| Other values (35178) | 153031 |
| Value | Count | Frequency (%) |
| 0 | 8692 | |
| 1 | 9866 | |
| 2 | 7402 | |
| 3 | 867 | 0.4% |
| 4 | 854 | 0.4% |
| 5 | 505 | 0.3% |
| 6 | 434 | 0.2% |
| 7 | 459 | 0.2% |
| 8 | 377 | 0.2% |
| 9 | 320 | 0.2% |
| Value | Count | Frequency (%) |
| 1221784 | 1 | |
| 1214813 | 1 | |
| 1213794 | 1 | |
| 1205878 | 1 | |
| 1172284 | 1 | |
| 1166459 | 1 | |
| 956184 | 1 | |
| 948246 | 1 | |
| 947901 | 1 | |
| 946118 | 2 |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 188.9 KiB |
| False | |
|---|---|
| True | 16335 |
| Value | Count | Frequency (%) |
| False | 176937 | |
| True | 16335 | 8.5% |
| Distinct | 187514 |
|---|---|
| Distinct (%) | 97.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.5 MiB |
| 2021-06-30 04:30:00 | 6 |
|---|---|
| 2021-06-18 13:13:23 | 6 |
| 2021-06-18 16:50:32 | 5 |
| 2021-06-24 09:41:12 | 4 |
| 2021-06-24 18:30:32 | 4 |
| Other values (187509) |
Length
| Max length | 19 |
|---|---|
| Median length | 19 |
| Mean length | 19 |
| Min length | 19 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 182187 ? |
|---|---|
| Unique (%) | 94.3% |
Sample
| 1st row | 2020-12-20 06:06:44 |
|---|---|
| 2nd row | 2020-12-13 16:27:13 |
| 3rd row | 2020-12-12 20:33:45 |
| 4th row | 2020-12-12 20:23:59 |
| 5th row | 2020-12-12 20:17:19 |
Common Values
| Value | Count | Frequency (%) |
| 2021-06-30 04:30:00 | 6 | < 0.1% |
| 2021-06-18 13:13:23 | 6 | < 0.1% |
| 2021-06-18 16:50:32 | 5 | < 0.1% |
| 2021-06-24 09:41:12 | 4 | < 0.1% |
| 2021-06-24 18:30:32 | 4 | < 0.1% |
| 2021-07-16 19:07:33 | 4 | < 0.1% |
| 2021-06-24 09:41:19 | 4 | < 0.1% |
| 2021-06-25 00:30:28 | 4 | < 0.1% |
| 2021-07-19 12:18:56 | 4 | < 0.1% |
| 2021-07-19 12:17:01 | 4 | < 0.1% |
| Other values (187504) | 193227 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 2021-03-01 | 2911 | 0.8% |
| 2021-06-29 | 2626 | 0.7% |
| 2021-07-19 | 2482 | 0.6% |
| 2021-04-21 | 2423 | 0.6% |
| 2021-06-30 | 2414 | 0.6% |
| 2021-07-23 | 2372 | 0.6% |
| 2021-06-23 | 2225 | 0.6% |
| 2021-06-22 | 2153 | 0.6% |
| 2021-04-12 | 2049 | 0.5% |
| 2021-06-25 | 2024 | 0.5% |
| Other values (74278) | 362865 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 191553 |
|---|---|
| Distinct (%) | 99.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.5 MiB |
| Got my second dose of the #Moderna #vaccine today!! 💉💉 | 16 |
|---|---|
| @naashonomics #Covaxin #Ocgn #OCGN #DeltaVariant $ocgn LETS KICK THE DELTA VARIANT'S ASS IN EVERY COUNTRY!!! | 11 |
| @POTUS Approve #COVAXIN | 8 |
| BREAKING NEWS : #SputnikV approved for emergency use in India. | 6 |
| @POTUS I’ll get vaccinated when you allow #Covaxin to be used in the USA. We need alternatives especially those that work. | 5 |
| Other values (191548) |
Length
| Max length | 162 |
|---|---|
| Median length | 139 |
| Mean length | 124.3028737 |
| Min length | 13 |
Characters and Unicode
| Total characters | 225746 |
|---|---|
| Distinct characters | 1 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 190130 ? |
|---|---|
| Unique (%) | 98.4% |
Sample
| 1st row | Same folks said daikon paste could treat a cytokine storm #PfizerBioNTech https://t.co/xeHhIMg1kF |
|---|---|
| 2nd row | While the world has been on the wrong side of history this year, hopefully, the biggest vaccination effort we've ev… https://t.co/dlCHrZjkhm |
| 3rd row | #coronavirus #SputnikV #AstraZeneca #PfizerBioNTech #Moderna #Covid_19 Russian vaccine is created to last 2-4 years… https://t.co/ieYlCKBr8P |
| 4th row | Facts are immutable, Senator, even when you're not ethically sturdy enough to acknowledge them. (1) You were born i… https://t.co/jqgV18kch4 |
| 5th row | Explain to me again why we need a vaccine @BorisJohnson @MattHancock #whereareallthesickpeople #PfizerBioNTech… https://t.co/KxbSRoBEHq |
Common Values
| Value | Count | Frequency (%) |
| Got my second dose of the #Moderna #vaccine today!! 💉💉 | 16 | < 0.1% |
| @naashonomics #Covaxin #Ocgn #OCGN #DeltaVariant $ocgn LETS KICK THE DELTA VARIANT'S ASS IN EVERY COUNTRY!!! | 11 | < 0.1% |
| @POTUS Approve #COVAXIN | 8 | < 0.1% |
| BREAKING NEWS : #SputnikV approved for emergency use in India. | 6 | < 0.1% |
| @POTUS I’ll get vaccinated when you allow #Covaxin to be used in the USA. We need alternatives especially those that work. | 5 | < 0.1% |
| #Moderna #Vaccine in #India soon. #CIPLA gets clearance to import #Vaccine for emergency use authorisation in #India. | 5 | < 0.1% |
| 560057, AGE 45+ 0-D1, 44-D2 slots, #COVAXIN on 18-06-2021 @ NEL COVAXIN(Free) #BBMP | 5 | < 0.1% |
| 560027, AGE 45+ 99-D1, 100-D2 slots, #COVAXIN on 22-07-2021 @ Agadi HOSPITAL AND RESEARCH(1410Rs) #BBMP | 5 | < 0.1% |
| 560076, AGE 45+ 99-D1, 100-D2 slots, #COVAXIN on 27-07-2021 @ Rainbow Royal Meenakshi MallC1(1410Rs) #BBMP | 5 | < 0.1% |
| @Reuters Do you know the meaning of “V” in the name of the first Russian vaccine- #SputnikV? “V” for Victory. Victory over the #pandemic. | 5 | < 0.1% |
| Other values (191543) | 193201 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| the | 78794 | 2.4% |
| covaxin | 59677 | 1.8% |
| of | 54074 | 1.7% |
| to | 51383 | 1.6% |
| 50288 | 1.5% | |
| vaccine | 47493 | 1.5% |
| and | 42206 | 1.3% |
| moderna | 40014 | 1.2% |
| in | 36290 | 1.1% |
| for | 34004 | 1.0% |
| Other values (301848) | 2753724 |
Most occurring characters
| Value | Count | Frequency (%) |
| 225746 |
Most occurring categories
| Value | Count | Frequency (%) |
| Control | 225746 |
Most frequent character per category
Control
| Value | Count | Frequency (%) |
| 225746 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 225746 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 225746 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 225746 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 225746 |
| Distinct | 52470 |
|---|---|
| Distinct (%) | 34.5% |
| Missing | 40973 |
| Missing (%) | 21.2% |
| Memory size | 1.5 MiB |
| ['COVAXIN', 'BBMP'] | 11113 |
|---|---|
| ['Moderna'] | 8995 |
| ['COVAXIN'] | 8746 |
| ['Covaxin'] | 7033 |
| ['SputnikV'] | 5106 |
| Other values (52465) |
Length
| Max length | 143 |
|---|---|
| Median length | 22 |
| Mean length | 28.85611199 |
| Min length | 5 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 45633 ? |
|---|---|
| Unique (%) | 30.0% |
Sample
| 1st row | ['PfizerBioNTech'] |
|---|---|
| 2nd row | ['coronavirus', 'SputnikV', 'AstraZeneca', 'PfizerBioNTech', 'Moderna', 'Covid_19'] |
| 3rd row | ['whereareallthesickpeople', 'PfizerBioNTech'] |
| 4th row | ['vaccination'] |
| 5th row | ['BidenHarris', 'Election2020'] |
Common Values
| Value | Count | Frequency (%) |
| ['COVAXIN', 'BBMP'] | 11113 | 5.7% |
| ['Moderna'] | 8995 | 4.7% |
| ['COVAXIN'] | 8746 | 4.5% |
| ['Covaxin'] | 7033 | 3.6% |
| ['SputnikV'] | 5106 | 2.6% |
| ['Sinopharm'] | 2589 | 1.3% |
| ['Sinovac'] | 2275 | 1.2% |
| ['moderna'] | 2108 | 1.1% |
| ['BBMP', 'Bengaluru', 'CovidVaccine', 'COVISHIELD'] | 1669 | 0.9% |
| ['COVID19'] | 1562 | 0.8% |
| Other values (52460) | 101103 | |
| (Missing) | 40973 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| covaxin | 48314 | 13.7% |
| moderna | 36960 | 10.4% |
| covid19 | 16747 | 4.7% |
| sputnikv | 13543 | 3.8% |
| bbmp | 12930 | 3.7% |
| vaccine | 11821 | 3.3% |
| pfizer | 10199 | 2.9% |
| sinovac | 9591 | 2.7% |
| covidvaccine | 9322 | 2.6% |
| covishield | 8213 | 2.3% |
| Other values (23656) | 176181 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 334 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 119 |
| Missing (%) | 0.1% |
| Memory size | 1.5 MiB |
| Twitter for Android | |
|---|---|
| Twitter Web App | |
| Twitter for iPhone | |
| cowin_vaccine_app | |
| Cowin Vaccination Availability | |
| Other values (329) |
Length
| Max length | 32 |
|---|---|
| Median length | 18 |
| Mean length | 16.91357111 |
| Min length | 3 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 95 ? |
|---|---|
| Unique (%) | < 0.1% |
Sample
| 1st row | Twitter for Android |
|---|---|
| 2nd row | Twitter Web App |
| 3rd row | Twitter for Android |
| 4th row | Twitter Web App |
| 5th row | Twitter for iPhone |
Common Values
| Value | Count | Frequency (%) |
| Twitter for Android | 50087 | |
| Twitter Web App | 48214 | |
| Twitter for iPhone | 41912 | |
| cowin_vaccine_app | 11670 | 6.0% |
| Cowin Vaccination Availability | 8525 | 4.4% |
| CowinAlertsBot | 7945 | 4.1% |
| TweetDeck | 6231 | 3.2% |
| VaxBlr | 3804 | 2.0% |
| Twitter for iPad | 2592 | 1.3% |
| 2091 | 1.1% | |
| Other values (324) | 10082 | 5.2% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 143763 | ||
| for | 95031 | |
| android | 50250 | 10.0% |
| app | 48810 | 9.7% |
| web | 48241 | 9.6% |
| iphone | 41916 | 8.3% |
| cowin_vaccine_app | 11670 | 2.3% |
| cowin | 8534 | 1.7% |
| vaccination | 8525 | 1.7% |
| availability | 8525 | 1.7% |
| Other values (429) | 38513 | 7.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
retweets
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONSKEWEDZEROS| Distinct | 412 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.419600356 |
| Minimum | 0 |
|---|---|
| Maximum | 11288 |
| Zeros | 144849 |
| Zeros (%) | 74.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.5 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 1 |
| 95-th percentile | 6 |
| Maximum | 11288 |
| Range | 11288 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 45.74607252 |
|---|---|
| Coefficient of variation (CV) | 18.906458 |
| Kurtosis | 26201.73493 |
| Mean | 2.419600356 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 133.5361123 |
| Sum | 467641 |
| Variance | 2092.703151 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 144849 | |
| 1 | 22348 | 11.6% |
| 2 | 7839 | 4.1% |
| 3 | 4206 | 2.2% |
| 4 | 2602 | 1.3% |
| 5 | 1683 | 0.9% |
| 6 | 1275 | 0.7% |
| 7 | 954 | 0.5% |
| 8 | 827 | 0.4% |
| 9 | 615 | 0.3% |
| Other values (402) | 6074 | 3.1% |
| Value | Count | Frequency (%) |
| 0 | 144849 | |
| 1 | 22348 | 11.6% |
| 2 | 7839 | 4.1% |
| 3 | 4206 | 2.2% |
| 4 | 2602 | 1.3% |
| 5 | 1683 | 0.9% |
| 6 | 1275 | 0.7% |
| 7 | 954 | 0.5% |
| 8 | 827 | 0.4% |
| 9 | 615 | 0.3% |
| Value | Count | Frequency (%) |
| 11288 | 1 | |
| 7695 | 1 | |
| 6018 | 1 | |
| 4851 | 1 | |
| 4105 | 1 | |
| 2550 | 1 | |
| 2360 | 1 | |
| 2299 | 1 | |
| 2294 | 1 | |
| 2247 | 1 |
favorites
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONSKEWEDZEROS| Distinct | 914 |
|---|---|
| Distinct (%) | 0.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 10.45960615 |
| Minimum | 0 |
|---|---|
| Maximum | 25724 |
| Zeros | 101340 |
| Zeros (%) | 52.4% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.5 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 2 |
| 95-th percentile | 23 |
| Maximum | 25724 |
| Range | 25724 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 162.2354804 |
|---|---|
| Coefficient of variation (CV) | 15.51066819 |
| Kurtosis | 8698.016319 |
| Mean | 10.45960615 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 77.54535765 |
| Sum | 2021549 |
| Variance | 26320.3511 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 101340 | |
| 1 | 32825 | 17.0% |
| 2 | 14103 | 7.3% |
| 3 | 8155 | 4.2% |
| 4 | 5325 | 2.8% |
| 5 | 3794 | 2.0% |
| 6 | 2937 | 1.5% |
| 7 | 2301 | 1.2% |
| 8 | 1911 | 1.0% |
| 9 | 1490 | 0.8% |
| Other values (904) | 19091 | 9.9% |
| Value | Count | Frequency (%) |
| 0 | 101340 | |
| 1 | 32825 | 17.0% |
| 2 | 14103 | 7.3% |
| 3 | 8155 | 4.2% |
| 4 | 5325 | 2.8% |
| 5 | 3794 | 2.0% |
| 6 | 2937 | 1.5% |
| 7 | 2301 | 1.2% |
| 8 | 1911 | 1.0% |
| 9 | 1490 | 0.8% |
| Value | Count | Frequency (%) |
| 25724 | 1 | |
| 22815 | 1 | |
| 19622 | 1 | |
| 15944 | 1 | |
| 15148 | 1 | |
| 14412 | 1 | |
| 13570 | 1 | |
| 12386 | 1 | |
| 11995 | 1 | |
| 10175 | 1 |
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| id | user_name | user_location | user_description | user_created | user_followers | user_friends | user_favourites | user_verified | date | text | hashtags | source | retweets | favorites | is_retweet | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1340539111971516416 | Rachel Roh | La Crescenta-Montrose, CA | Aggregator of Asian American news; scanning diverse sources 24/7/365. RT's, Follows and 'Likes' will fuel me 👩💻 | 2009-04-08 17:52:46 | 405 | 1692 | 3247 | False | 2020-12-20 06:06:44 | Same folks said daikon paste could treat a cytokine storm #PfizerBioNTech https://t.co/xeHhIMg1kF | ['PfizerBioNTech'] | Twitter for Android | 0 | 0 | False |
| 1 | 1338158543359250433 | Albert Fong | San Francisco, CA | Marketing dude, tech geek, heavy metal & '80s music junkie. Fascinated by meteorology and all things in the cloud. Opinions are my own. | 2009-09-21 15:27:30 | 834 | 666 | 178 | False | 2020-12-13 16:27:13 | While the world has been on the wrong side of history this year, hopefully, the biggest vaccination effort we've ev… https://t.co/dlCHrZjkhm | NaN | Twitter Web App | 1 | 1 | False |
| 2 | 1337858199140118533 | eli🇱🇹🇪🇺👌 | Your Bed | heil, hydra 🖐☺ | 2020-06-25 23:30:28 | 10 | 88 | 155 | False | 2020-12-12 20:33:45 | #coronavirus #SputnikV #AstraZeneca #PfizerBioNTech #Moderna #Covid_19 Russian vaccine is created to last 2-4 years… https://t.co/ieYlCKBr8P | ['coronavirus', 'SputnikV', 'AstraZeneca', 'PfizerBioNTech', 'Moderna', 'Covid_19'] | Twitter for Android | 0 | 0 | False |
| 3 | 1337855739918835717 | Charles Adler | Vancouver, BC - Canada | Hosting "CharlesAdlerTonight" Global News Radio Network. Weeknights 7 Pacific-10 Eastern - Email comments/ideas to charles@charlesadlertonight.ca | 2008-09-10 11:28:53 | 49165 | 3933 | 21853 | True | 2020-12-12 20:23:59 | Facts are immutable, Senator, even when you're not ethically sturdy enough to acknowledge them. (1) You were born i… https://t.co/jqgV18kch4 | NaN | Twitter Web App | 446 | 2129 | False |
| 4 | 1337854064604966912 | Citizen News Channel | NaN | Citizen News Channel bringing you an alternative news source from citizen journalists that haven't sold out. Real news & real views | 2020-04-23 17:58:42 | 152 | 580 | 1473 | False | 2020-12-12 20:17:19 | Explain to me again why we need a vaccine @BorisJohnson @MattHancock #whereareallthesickpeople #PfizerBioNTech… https://t.co/KxbSRoBEHq | ['whereareallthesickpeople', 'PfizerBioNTech'] | Twitter for iPhone | 0 | 0 | False |
| 5 | 1337852648389832708 | Dee | Birmingham, England | Gastroenterology trainee, Clinical Research Fellow in IBD, mother to human and fur baby, Canadian in Britain | 2020-01-26 21:43:12 | 105 | 108 | 106 | False | 2020-12-12 20:11:42 | Does anyone have any useful advice/guidance for whether the COVID vaccine is safe whilst breastfeeding?… https://t.co/EifsyQoeKN | NaN | Twitter for iPhone | 0 | 0 | False |
| 6 | 1337851215875608579 | Gunther Fehlinger | Austria, Ukraine and Kosovo | End North Stream 2 now - the pipeline of corruption, funding Russias war against Ukraine,Georgia, Syria and political intervention in USA and EU must be stopped | 2013-06-10 17:49:22 | 2731 | 5001 | 69344 | False | 2020-12-12 20:06:00 | it is a bit sad to claim the fame for success of #vaccination on patriotic competition between USA, Canada, UK and… https://t.co/IfMrAyGyTP | ['vaccination'] | Twitter Web App | 0 | 4 | False |
| 7 | 1337850832256176136 | Dr.Krutika Kuppalli | NaN | ID, Global Health, VHF, Pandemic Prep, Emerging Infections, & Health Policy MD| U.S. Congress COVID-19 expert witness x 2 | ELBI 2020 @JHSPH_CHS | 2019-03-25 04:14:29 | 21924 | 593 | 7815 | True | 2020-12-12 20:04:29 | There have not been many bright days in 2020 but here are some of the best \n1. #BidenHarris winning #Election2020… https://t.co/77u4f8XXfx | ['BidenHarris', 'Election2020'] | Twitter for iPhone | 2 | 22 | False |
| 8 | 1337850023531347969 | Erin Despas | NaN | Designing&selling on Teespring. Like 90s Disney tv movies, old school WWE. Dislikes Intolerance, hate, bigots and snakes https://t.co/fa5n4gEHgR | 2009-10-30 17:53:54 | 887 | 1515 | 9639 | False | 2020-12-12 20:01:16 | Covid vaccine; You getting it?\n\n #CovidVaccine #covid19 #PfizerBioNTech #Moderna | ['CovidVaccine', 'covid19', 'PfizerBioNTech', 'Moderna'] | Twitter Web App | 2 | 1 | False |
| 9 | 1337842295857623042 | Ch.Amjad Ali | Islamabad | #ProudPakistani #LovePakArmy #PMIK @insafianspower1\n#PoliticalScience #InternationalAffairs \n#PAKUSTV #Newyork #Islamabad | 2012-11-12 04:18:12 | 671 | 2368 | 20469 | False | 2020-12-12 19:30:33 | #CovidVaccine \n\nStates will start getting #COVID19Vaccine Monday, #US says \n#pakustv #NYC #Healthcare #GlobalGoals… https://t.co/MksOvBvs5w | ['CovidVaccine', 'COVID19Vaccine', 'US', 'pakustv', 'NYC', 'Healthcare', 'GlobalGoals'] | Twitter Web App | 0 | 0 | False |
Last rows
| id | user_name | user_location | user_description | user_created | user_followers | user_friends | user_favourites | user_verified | date | text | hashtags | source | retweets | favorites | is_retweet | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 193262 | 1437378129325002757 | VaxBLR | Bengaluru, India | Hourly updates on FREE and PAID 18+ and 45+ vaccine slot availability across #Bengaluru BBMP,URBAN & RURAL | 2021-06-21 08:44:34 | 25 | 0 | 0 | False | 2021-09-13 11:30:25 | 18-44 #BBMP #Bengaluru #CovidVaccine Availability for 13/09 at 05:00PM\nFREE Slots \n#COVISHIELD - Dose1:955, Dose2:6… https://t.co/8oWeTDgipp | ['BBMP', 'Bengaluru', 'CovidVaccine', 'COVISHIELD'] | VaxBlr | 0 | 1 | False |
| 193263 | 1437378083510571013 | VaxBLR | Bengaluru, India | Hourly updates on FREE and PAID 18+ and 45+ vaccine slot availability across #Bengaluru BBMP,URBAN & RURAL | 2021-06-21 08:44:34 | 25 | 0 | 0 | False | 2021-09-13 11:30:14 | 18-44 #URBAN #Bengaluru #CovidVaccine Availability for 13/09 at 05:00PM\nFREE Slots 0\nPAID Slots \n#COVISHIELD - Dose… https://t.co/QC3r2SfxUY | ['URBAN', 'Bengaluru', 'CovidVaccine', 'COVISHIELD'] | VaxBlr | 0 | 0 | False |
| 193264 | 1437374384214183941 | Goel Medicos | 8A/460, Durgapuri Extension, W | Basant Goel is the owner of Goel Medicos. He comes with experience of more than 20+ years and under his leadership has taken the pharmacy to new heights of succ | 2021-08-06 10:45:25 | 2 | 2 | 0 | False | 2021-09-13 11:15:32 | Sputnik Lite Trial Set To Begin in City Hospital \n\n#sputniknews #medical #pharmacy #covid19vaccine #medicine… https://t.co/aQKJQ5WbEZ | ['sputniknews', 'medical', 'pharmacy', 'covid19vaccine', 'medicine'] | Twitter Web App | 0 | 0 | False |
| 193265 | 1437370550309904392 | VaxBLR | Bengaluru, India | Hourly updates on FREE and PAID 18+ and 45+ vaccine slot availability across #Bengaluru BBMP,URBAN & RURAL | 2021-06-21 08:44:34 | 25 | 0 | 0 | False | 2021-09-13 11:00:18 | 45+ #URBAN #Bengaluru #CovidVaccine Availability for 13/09 at 04:30PM\nFREE Slots 0\nPAID Slots \n#COVISHIELD - Dose1:… https://t.co/XRxnxa3d8w | ['URBAN', 'Bengaluru', 'CovidVaccine', 'COVISHIELD'] | VaxBlr | 0 | 0 | False |
| 193266 | 1437370445653848065 | Alexander Alimov | Geneva, Switzerland | Дипломат средних талантов. Сейчас - зам. Постпреда России при ООН в Женеве/A modestly talented diplomat. Now - Russian Deputy Perm Rep to UN Office in Geneva | 2019-04-23 16:54:17 | 1610 | 398 | 61970 | True | 2021-09-13 10:59:53 | 🇸🇲 FM Luca Beccari: ‘We settled on #SputnikV due to #EMA-approved vaccines supply delays for >2 months despite pre-… https://t.co/GHzGucDq1H | ['SputnikV', 'EMA'] | Twitter for iPhone | 1 | 3 | False |
| 193267 | 1437363048310722566 | VaxBLR | Bengaluru, India | Hourly updates on FREE and PAID 18+ and 45+ vaccine slot availability across #Bengaluru BBMP,URBAN & RURAL | 2021-06-21 08:44:34 | 25 | 0 | 0 | False | 2021-09-13 10:30:30 | 18-44 #BBMP #Bengaluru #CovidVaccine Availability for 13/09 at 04:00PM\nFREE Slots \n#COVISHIELD - Dose1:957, Dose2:1… https://t.co/dEUK2Sfgbk | ['BBMP', 'Bengaluru', 'CovidVaccine', 'COVISHIELD'] | VaxBlr | 0 | 1 | False |
| 193268 | 1437363004245348352 | VaxBLR | Bengaluru, India | Hourly updates on FREE and PAID 18+ and 45+ vaccine slot availability across #Bengaluru BBMP,URBAN & RURAL | 2021-06-21 08:44:34 | 25 | 0 | 0 | False | 2021-09-13 10:30:19 | 18-44 #URBAN #Bengaluru #CovidVaccine Availability for 13/09 at 04:00PM\nFREE Slots 0\nPAID Slots \n#COVISHIELD - Dose… https://t.co/gKjBSGLmJA | ['URBAN', 'Bengaluru', 'CovidVaccine', 'COVISHIELD'] | VaxBlr | 0 | 0 | False |
| 193269 | 1437362257604849664 | India Post | Fremont, CA, USA | Refresh yourself every morning with IndiaPost news coverage Use #IndiaPostNewsPaper to get featured\nContribute your articles here: https://t.co/hf43HgvGHr… | 2009-03-24 20:03:31 | 670 | 723 | 17 | False | 2021-09-13 10:27:21 | US Special Envoy for Climate ... - https://t.co/GhqageRfqn \nGet your news featured use #IndiaPostUSA… https://t.co/8iQUpPAqI8 | ['IndiaPostUSA'] | IndiaPost | 0 | 1 | False |
| 193270 | 1437361478026268680 | India Post | Fremont, CA, USA | Refresh yourself every morning with IndiaPost news coverage Use #IndiaPostNewsPaper to get featured\nContribute your articles here: https://t.co/hf43HgvGHr… | 2009-03-24 20:03:31 | 670 | 723 | 17 | False | 2021-09-13 10:24:15 | India's cumulative COVID-19 vaccination coverage surpasses 74.38 cr - https://t.co/LqQAmaKTJp \nGet your news featur… https://t.co/crdty6qW5y | NaN | IndiaPost | 0 | 0 | False |
| 193271 | 1437355448588398592 | VaxBLR | Bengaluru, India | Hourly updates on FREE and PAID 18+ and 45+ vaccine slot availability across #Bengaluru BBMP,URBAN & RURAL | 2021-06-21 08:44:34 | 25 | 0 | 0 | False | 2021-09-13 10:00:18 | 45+ #URBAN #Bengaluru #CovidVaccine Availability for 13/09 at 03:30PM\nFREE Slots 0\nPAID Slots \n#COVISHIELD - Dose1:… https://t.co/OMVx8SNDXv | ['URBAN', 'Bengaluru', 'CovidVaccine', 'COVISHIELD'] | VaxBlr | 0 | 0 | False |